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ICTAI
2009
IEEE
14 years 2 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
VLDB
1997
ACM
175views Database» more  VLDB 1997»
13 years 11 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
PRL
2006
139views more  PRL 2006»
13 years 7 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 1 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
BMCBI
2010
86views more  BMCBI 2010»
13 years 7 months ago
Fast motif recognition via application of statistical thresholds
Background: Improving the accuracy and efficiency of motif recognition is an important computational challenge that has application to detecting transcription factor binding sites...
Christina Boucher, James King